首页|Chongqing University Reports Findings in Machine Learning (Machine learning for predicting halogen radical reactivity toward aqueous organic chemicalsl)
Chongqing University Reports Findings in Machine Learning (Machine learning for predicting halogen radical reactivity toward aqueous organic chemicalsl)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting out of Chongqing, People’s Re public of China, by NewsRx editors, research stated, “Rapid advances in machine learning (ML) provide fast, accurate, and widely applicable methods for predicti ng free radical-mediated organic pollutant reactivity. In this study, the rate c onstants (logk) of four halogen radicals were predicted using Morgan fingerprint (MF) and Mordred descriptor (MD) in combination with a series of ML models.”
ChongqingPeople’s Republic of ChinaA siaCyborgsEmerging TechnologiesMachine Learning